Overview

Dataset statistics

Number of variables29
Number of observations111
Missing cells119
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.3 KiB
Average record size in memory233.2 B

Variable types

Numeric9
Categorical20

Alerts

airdate has constant value "2020-12-15" Constant
url has a high cardinality: 111 distinct values High cardinality
name has a high cardinality: 110 distinct values High cardinality
image has a high cardinality: 54 distinct values High cardinality
summary has a high cardinality: 54 distinct values High cardinality
_embedded_show_url has a high cardinality: 68 distinct values High cardinality
_embedded_show_name has a high cardinality: 68 distinct values High cardinality
_embedded_show_premiered has a high cardinality: 58 distinct values High cardinality
_embedded_show_officialSite has a high cardinality: 65 distinct values High cardinality
_embedded_show_summary has a high cardinality: 61 distinct values High cardinality
_links_self_href has a high cardinality: 111 distinct values High cardinality
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
number is highly correlated with _embedded_show_runtimeHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with number and 2 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with _embedded_show_ended and 14 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_officialSite and 7 other fieldsHigh correlation
_embedded_show_name is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
summary is highly correlated with airdate and 1 other fieldsHigh correlation
_embedded_show_summary is highly correlated with _embedded_show_officialSite and 13 other fieldsHigh correlation
_embedded_show_genres is highly correlated with _embedded_show_officialSite and 13 other fieldsHigh correlation
type is highly correlated with _embedded_show_officialSite and 6 other fieldsHigh correlation
_embedded_show_type is highly correlated with _embedded_show_officialSite and 7 other fieldsHigh correlation
airdate is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
airtime is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_status is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
image is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
_embedded_show_url is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
_embedded_show_language is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with _embedded_show_officialSite and 8 other fieldsHigh correlation
airstamp is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
id is highly correlated with number and 20 other fieldsHigh correlation
season is highly correlated with number and 9 other fieldsHigh correlation
number is highly correlated with id and 13 other fieldsHigh correlation
type is highly correlated with image and 8 other fieldsHigh correlation
airtime is highly correlated with id and 15 other fieldsHigh correlation
airstamp is highly correlated with id and 16 other fieldsHigh correlation
runtime is highly correlated with id and 20 other fieldsHigh correlation
image is highly correlated with id and 22 other fieldsHigh correlation
summary is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 17 other fieldsHigh correlation
_embedded_show_url is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_name is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_type is highly correlated with id and 18 other fieldsHigh correlation
_embedded_show_language is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_genres is highly correlated with id and 20 other fieldsHigh correlation
_embedded_show_status is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with id and 19 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_ended is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_weight is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with id and 10 other fieldsHigh correlation
_embedded_show_summary is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_updated is highly correlated with id and 15 other fieldsHigh correlation
number has 3 (2.7%) missing values Missing
runtime has 6 (5.4%) missing values Missing
image has 57 (51.4%) missing values Missing
_embedded_show_runtime has 49 (44.1%) missing values Missing
_embedded_show_averageRuntime has 4 (3.6%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
image is uniformly distributed Uniform
_links_self_href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links_self_href has unique values Unique

Reproduction

Analysis started2022-05-10 02:12:32.724721
Analysis finished2022-05-10 02:13:55.657924
Duration1 minute and 22.93 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2049859.171
Minimum1960498
Maximum2318105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:13:55.736771image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1960498
5-th percentile1974321.5
Q11986147.5
median2015997
Q32092975.5
95-th percentile2206259
Maximum2318105
Range357607
Interquartile range (IQR)106828

Descriptive statistics

Standard deviation82016.37089
Coefficient of variation (CV)0.04001073442
Kurtosis1.436256096
Mean2049859.171
Median Absolute Deviation (MAD)43392
Skewness1.242729724
Sum227534368
Variance6726685094
MonotonicityNot monotonic
2022-05-09T21:13:55.921007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19888601
 
0.9%
20929641
 
0.9%
20929761
 
0.9%
20929751
 
0.9%
20929741
 
0.9%
20929731
 
0.9%
20929721
 
0.9%
20929711
 
0.9%
20929701
 
0.9%
20929691
 
0.9%
Other values (101)101
91.0%
ValueCountFrequency (%)
19604981
0.9%
19643331
0.9%
19645671
0.9%
19680021
0.9%
19705351
0.9%
19726051
0.9%
19760381
0.9%
19760391
0.9%
19761601
0.9%
19761611
0.9%
ValueCountFrequency (%)
23181051
0.9%
23110191
0.9%
22898731
0.9%
22877871
0.9%
22396091
0.9%
22152351
0.9%
21972831
0.9%
21761321
0.9%
21751101
0.9%
21650071
0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1016.0 B
https://www.tvmaze.com/episodes/1988860/sim-for-you-4x22-chanyeols-episode-22
 
1
https://www.tvmaze.com/episodes/2092964/90-day-fiance-extras-1x09-colt-larissa-our-journey-so-far
 
1
https://www.tvmaze.com/episodes/2092976/90-day-fiance-extras-1x20-darceys-continuing-journey
 
1
https://www.tvmaze.com/episodes/2092975/90-day-fiance-extras-1x19-angela-michael-our-continuing-journey
 
1
https://www.tvmaze.com/episodes/2092974/90-day-fiance-extras-1x18-tiffany-ronald-our-journey-so-far
 
1
Other values (106)
106 

Length

Max length134
Median length96
Mean length85.30630631
Min length58

Characters and Unicode

Total characters9469
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1988860/sim-for-you-4x22-chanyeols-episode-22
2nd rowhttps://www.tvmaze.com/episodes/1987445/serlok-v-rossii-s01-special-film-o-filme
3rd rowhttps://www.tvmaze.com/episodes/2007749/stand-up-autsajd-1x09-irina-prihodko-skvirt
4th rowhttps://www.tvmaze.com/episodes/2008029/lab-s-antonom-belaevym-2x08-elena-temnikova
5th rowhttps://www.tvmaze.com/episodes/1964567/core-sense-1x11-episode-11

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1988860/sim-for-you-4x22-chanyeols-episode-221
 
0.9%
https://www.tvmaze.com/episodes/2092964/90-day-fiance-extras-1x09-colt-larissa-our-journey-so-far1
 
0.9%
https://www.tvmaze.com/episodes/2092976/90-day-fiance-extras-1x20-darceys-continuing-journey1
 
0.9%
https://www.tvmaze.com/episodes/2092975/90-day-fiance-extras-1x19-angela-michael-our-continuing-journey1
 
0.9%
https://www.tvmaze.com/episodes/2092974/90-day-fiance-extras-1x18-tiffany-ronald-our-journey-so-far1
 
0.9%
https://www.tvmaze.com/episodes/2092973/90-day-fiance-extras-1x17-deavan-jihoon-our-journey-so-far1
 
0.9%
https://www.tvmaze.com/episodes/2092972/90-day-fiance-extras-1x16-jenny-sumit-our-journey-so-far1
 
0.9%
https://www.tvmaze.com/episodes/2092971/90-day-fiance-extras-1x15-angela-michael-our-journey-so-far1
 
0.9%
https://www.tvmaze.com/episodes/2092970/90-day-fiance-extras-1x14-darcey-jesse-our-journey-so-far1
 
0.9%
https://www.tvmaze.com/episodes/2092969/90-day-fiance-extras-1x13-eric-leida-our-journey-so-far1
 
0.9%
Other values (101)101
91.0%

Length

2022-05-09T21:13:56.154157image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1988860/sim-for-you-4x22-chanyeols-episode-221
 
0.9%
https://www.tvmaze.com/episodes/2003908/10-glupyh-voprosov-1x116-anton-kozubov-fizik-teoretik1
 
0.9%
https://www.tvmaze.com/episodes/2007749/stand-up-autsajd-1x09-irina-prihodko-skvirt1
 
0.9%
https://www.tvmaze.com/episodes/2008029/lab-s-antonom-belaevym-2x08-elena-temnikova1
 
0.9%
https://www.tvmaze.com/episodes/1964567/core-sense-1x11-episode-111
 
0.9%
https://www.tvmaze.com/episodes/2052509/wu-shen-zhu-zai-1x84-episode-841
 
0.9%
https://www.tvmaze.com/episodes/2096297/no-turning-back-romance-1x03-31
 
0.9%
https://www.tvmaze.com/episodes/2071479/youths-in-the-breeze-1x09-people-from-the-story-011
 
0.9%
https://www.tvmaze.com/episodes/2071480/youths-in-the-breeze-1x10-people-from-the-story-021
 
0.9%
https://www.tvmaze.com/episodes/2082175/ling-jian-zun-4x32-di132ji1
 
0.9%
Other values (101)101
91.0%

Most occurring characters

ValueCountFrequency (%)
e801
 
8.5%
-799
 
8.4%
s557
 
5.9%
/555
 
5.9%
t542
 
5.7%
o486
 
5.1%
a465
 
4.9%
w372
 
3.9%
i357
 
3.8%
m306
 
3.2%
Other values (29)4229
44.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6451
68.1%
Decimal Number1331
 
14.1%
Other Punctuation888
 
9.4%
Dash Punctuation799
 
8.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e801
 
12.4%
s557
 
8.6%
t542
 
8.4%
o486
 
7.5%
a465
 
7.2%
w372
 
5.8%
i357
 
5.5%
m306
 
4.7%
p292
 
4.5%
d265
 
4.1%
Other values (15)2008
31.1%
Decimal Number
ValueCountFrequency (%)
1260
19.5%
2219
16.5%
0212
15.9%
9205
15.4%
886
 
6.5%
782
 
6.2%
374
 
5.6%
669
 
5.2%
564
 
4.8%
460
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/555
62.5%
.222
 
25.0%
:111
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-799
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6451
68.1%
Common3018
31.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e801
 
12.4%
s557
 
8.6%
t542
 
8.4%
o486
 
7.5%
a465
 
7.2%
w372
 
5.8%
i357
 
5.5%
m306
 
4.7%
p292
 
4.5%
d265
 
4.1%
Other values (15)2008
31.1%
Common
ValueCountFrequency (%)
-799
26.5%
/555
18.4%
1260
 
8.6%
.222
 
7.4%
2219
 
7.3%
0212
 
7.0%
9205
 
6.8%
:111
 
3.7%
886
 
2.8%
782
 
2.7%
Other values (4)267
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII9469
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e801
 
8.5%
-799
 
8.4%
s557
 
5.9%
/555
 
5.9%
t542
 
5.7%
o486
 
5.1%
a465
 
4.9%
w372
 
3.9%
i357
 
3.8%
m306
 
3.2%
Other values (29)4229
44.7%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct110
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1016.0 B
Episode 11
 
2
Chanyeol's Episode 22
 
1
Ashley & Jay: Our Journey So Far
 
1
David & Annie: The Full Story
 
1
Darcey's Continuing Journey
 
1
Other values (105)
105 

Length

Max length68
Median length36
Mean length23.15315315
Min length1

Characters and Unicode

Total characters2570
Distinct characters132
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)98.2%

Sample

1st rowChanyeol's Episode 22
2nd rowФильм о фильме
3rd rowИрина Приходько "Сквирт"
4th rowЕлена Темникова
5th rowEpisode 11

Common Values

ValueCountFrequency (%)
Episode 112
 
1.8%
Chanyeol's Episode 221
 
0.9%
Ashley & Jay: Our Journey So Far1
 
0.9%
David & Annie: The Full Story1
 
0.9%
Darcey's Continuing Journey1
 
0.9%
Angela & Michael: Our Continuing Journey1
 
0.9%
Tiffany & Ronald: Our Journey So Far1
 
0.9%
Deavan & Jihoon: Our Journey So Far1
 
0.9%
Jenny & Sumit: Our Journey So Far1
 
0.9%
Angela & Michael: Our Journey So Far1
 
0.9%
Other values (100)100
90.1%

Length

2022-05-09T21:13:56.486001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
36
 
7.6%
episode21
 
4.5%
journey21
 
4.5%
our20
 
4.2%
so15
 
3.2%
far15
 
3.2%
the15
 
3.2%
continuing5
 
1.1%
story5
 
1.1%
and4
 
0.8%
Other values (266)314
66.7%

Most occurring characters

ValueCountFrequency (%)
360
 
14.0%
e205
 
8.0%
o134
 
5.2%
a133
 
5.2%
r129
 
5.0%
i125
 
4.9%
n122
 
4.7%
u82
 
3.2%
s82
 
3.2%
t70
 
2.7%
Other values (122)1128
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1619
63.0%
Uppercase Letter390
 
15.2%
Space Separator360
 
14.0%
Decimal Number86
 
3.3%
Other Punctuation81
 
3.2%
Other Letter16
 
0.6%
Dash Punctuation11
 
0.4%
Close Punctuation3
 
0.1%
Open Punctuation3
 
0.1%
Math Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e205
12.7%
o134
 
8.3%
a133
 
8.2%
r129
 
8.0%
i125
 
7.7%
n122
 
7.5%
u82
 
5.1%
s82
 
5.1%
t70
 
4.3%
l66
 
4.1%
Other values (47)471
29.1%
Uppercase Letter
ValueCountFrequency (%)
E39
 
10.0%
S30
 
7.7%
J28
 
7.2%
O27
 
6.9%
F26
 
6.7%
T23
 
5.9%
M21
 
5.4%
A21
 
5.4%
D20
 
5.1%
C19
 
4.9%
Other values (29)136
34.9%
Other Letter
ValueCountFrequency (%)
و3
18.8%
م2
12.5%
د2
12.5%
1
 
6.2%
1
 
6.2%
ب1
 
6.2%
ا1
 
6.2%
ز1
 
6.2%
ی1
 
6.2%
گ1
 
6.2%
Other values (2)2
12.5%
Decimal Number
ValueCountFrequency (%)
122
25.6%
217
19.8%
010
11.6%
310
11.6%
47
 
8.1%
86
 
7.0%
95
 
5.8%
54
 
4.7%
63
 
3.5%
72
 
2.3%
Other Punctuation
ValueCountFrequency (%)
:28
34.6%
&25
30.9%
'7
 
8.6%
?5
 
6.2%
.5
 
6.2%
,4
 
4.9%
!3
 
3.7%
"2
 
2.5%
#2
 
2.5%
Space Separator
ValueCountFrequency (%)
360
100.0%
Dash Punctuation
ValueCountFrequency (%)
-11
100.0%
Close Punctuation
ValueCountFrequency (%)
)3
100.0%
Open Punctuation
ValueCountFrequency (%)
(3
100.0%
Math Symbol
ValueCountFrequency (%)
|1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1840
71.6%
Common545
 
21.2%
Cyrillic169
 
6.6%
Arabic14
 
0.5%
Han2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e205
 
11.1%
o134
 
7.3%
a133
 
7.2%
r129
 
7.0%
i125
 
6.8%
n122
 
6.6%
u82
 
4.5%
s82
 
4.5%
t70
 
3.8%
l66
 
3.6%
Other values (42)692
37.6%
Cyrillic
ValueCountFrequency (%)
о18
 
10.7%
и17
 
10.1%
а11
 
6.5%
е11
 
6.5%
н9
 
5.3%
к9
 
5.3%
р9
 
5.3%
в7
 
4.1%
т6
 
3.6%
л6
 
3.6%
Other values (34)66
39.1%
Common
ValueCountFrequency (%)
360
66.1%
:28
 
5.1%
&25
 
4.6%
122
 
4.0%
217
 
3.1%
-11
 
2.0%
010
 
1.8%
310
 
1.8%
'7
 
1.3%
47
 
1.3%
Other values (14)48
 
8.8%
Arabic
ValueCountFrequency (%)
و3
21.4%
م2
14.3%
د2
14.3%
ب1
 
7.1%
ا1
 
7.1%
ز1
 
7.1%
ی1
 
7.1%
گ1
 
7.1%
ر1
 
7.1%
ه1
 
7.1%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2380
92.6%
Cyrillic169
 
6.6%
Arabic14
 
0.5%
None5
 
0.2%
CJK2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
360
 
15.1%
e205
 
8.6%
o134
 
5.6%
a133
 
5.6%
r129
 
5.4%
i125
 
5.3%
n122
 
5.1%
u82
 
3.4%
s82
 
3.4%
t70
 
2.9%
Other values (61)938
39.4%
Cyrillic
ValueCountFrequency (%)
о18
 
10.7%
и17
 
10.1%
а11
 
6.5%
е11
 
6.5%
н9
 
5.3%
к9
 
5.3%
р9
 
5.3%
в7
 
4.1%
т6
 
3.6%
л6
 
3.6%
Other values (34)66
39.1%
Arabic
ValueCountFrequency (%)
و3
21.4%
م2
14.3%
د2
14.3%
ب1
 
7.1%
ا1
 
7.1%
ز1
 
7.1%
ی1
 
7.1%
گ1
 
7.1%
ر1
 
7.1%
ه1
 
7.1%
None
ValueCountFrequency (%)
í1
20.0%
ö1
20.0%
ü1
20.0%
ø1
20.0%
á1
20.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

season
Real number (ℝ≥0)

HIGH CORRELATION

Distinct10
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.3783784
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:13:56.635518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2

Descriptive statistics

Standard deviation629.3996426
Coefficient of variation (CV)2.855995435
Kurtosis4.630280026
Mean220.3783784
Median Absolute Deviation (MAD)0
Skewness2.558676084
Sum24462
Variance396143.9101
MonotonicityNot monotonic
2022-05-09T21:13:56.766531image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
170
63.1%
212
 
10.8%
202012
 
10.8%
46
 
5.4%
34
 
3.6%
73
 
2.7%
101
 
0.9%
121
 
0.9%
181
 
0.9%
311
 
0.9%
ValueCountFrequency (%)
170
63.1%
212
 
10.8%
34
 
3.6%
46
 
5.4%
73
 
2.7%
101
 
0.9%
121
 
0.9%
181
 
0.9%
311
 
0.9%
202012
 
10.8%
ValueCountFrequency (%)
202012
 
10.8%
311
 
0.9%
181
 
0.9%
121
 
0.9%
101
 
0.9%
73
 
2.7%
46
 
5.4%
34
 
3.6%
212
 
10.8%
170
63.1%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct50
Distinct (%)46.3%
Missing3
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean31.19444444
Minimum1
Maximum342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:13:56.940895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16.75
median14.5
Q328.25
95-th percentile111.1
Maximum342
Range341
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation55.94013127
Coefficient of variation (CV)1.79327224
Kurtosis17.94601334
Mean31.19444444
Median Absolute Deviation (MAD)10.5
Skewness4.042340057
Sum3369
Variance3129.298287
MonotonicityNot monotonic
2022-05-09T21:13:57.099643image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38
 
7.2%
96
 
5.4%
26
 
5.4%
46
 
5.4%
85
 
4.5%
105
 
4.5%
153
 
2.7%
63
 
2.7%
203
 
2.7%
213
 
2.7%
Other values (40)60
54.1%
ValueCountFrequency (%)
12
 
1.8%
26
5.4%
38
7.2%
46
5.4%
52
 
1.8%
63
 
2.7%
73
 
2.7%
85
4.5%
96
5.4%
105
4.5%
ValueCountFrequency (%)
3421
0.9%
3041
0.9%
3031
0.9%
1521
0.9%
1431
0.9%
1161
0.9%
1021
0.9%
1011
0.9%
841
0.9%
731
0.9%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1016.0 B
regular
108 
insignificant_special
 
2
significant_special
 
1

Length

Max length21
Median length7
Mean length7.36036036
Min length7

Characters and Unicode

Total characters817
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st rowregular
2nd rowinsignificant_special
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular108
97.3%
insignificant_special2
 
1.8%
significant_special1
 
0.9%

Length

2022-05-09T21:13:57.288772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:13:57.435755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular108
97.3%
insignificant_special2
 
1.8%
significant_special1
 
0.9%

Most occurring characters

ValueCountFrequency (%)
r216
26.4%
a114
14.0%
e111
13.6%
g111
13.6%
l111
13.6%
u108
13.2%
i14
 
1.7%
n8
 
1.0%
s6
 
0.7%
c6
 
0.7%
Other values (4)12
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter814
99.6%
Connector Punctuation3
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r216
26.5%
a114
14.0%
e111
13.6%
g111
13.6%
l111
13.6%
u108
13.3%
i14
 
1.7%
n8
 
1.0%
s6
 
0.7%
c6
 
0.7%
Other values (3)9
 
1.1%
Connector Punctuation
ValueCountFrequency (%)
_3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin814
99.6%
Common3
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r216
26.5%
a114
14.0%
e111
13.6%
g111
13.6%
l111
13.6%
u108
13.3%
i14
 
1.7%
n8
 
1.0%
s6
 
0.7%
c6
 
0.7%
Other values (3)9
 
1.1%
Common
ValueCountFrequency (%)
_3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r216
26.4%
a114
14.0%
e111
13.6%
g111
13.6%
l111
13.6%
u108
13.2%
i14
 
1.7%
n8
 
1.0%
s6
 
0.7%
c6
 
0.7%
Other values (4)12
 
1.5%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1016.0 B
2020-12-15
111 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1110
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-15
2nd row2020-12-15
3rd row2020-12-15
4th row2020-12-15
5th row2020-12-15

Common Values

ValueCountFrequency (%)
2020-12-15111
100.0%

Length

2022-05-09T21:13:57.561291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:13:57.692942image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-15111
100.0%

Most occurring characters

ValueCountFrequency (%)
2333
30.0%
0222
20.0%
-222
20.0%
1222
20.0%
5111
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number888
80.0%
Dash Punctuation222
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2333
37.5%
0222
25.0%
1222
25.0%
5111
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1110
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2333
30.0%
0222
20.0%
-222
20.0%
1222
20.0%
5111
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2333
30.0%
0222
20.0%
-222
20.0%
1222
20.0%
5111
 
10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct12
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size1016.0 B
nan
85 
20:00
13 
06:00
 
2
10:00
 
2
20:40
 
2
Other values (7)
 
7

Length

Max length5
Median length3
Mean length3.468468468
Min length3

Characters and Unicode

Total characters385
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)6.3%

Sample

1st row06:00
2nd rownan
3rd row12:00
4th rownan
5th row10:00

Common Values

ValueCountFrequency (%)
nan85
76.6%
20:0013
 
11.7%
06:002
 
1.8%
10:002
 
1.8%
20:402
 
1.8%
12:001
 
0.9%
08:001
 
0.9%
17:001
 
0.9%
17:351
 
0.9%
22:001
 
0.9%
Other values (2)2
 
1.8%

Length

2022-05-09T21:13:57.790533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan85
76.6%
20:0013
 
11.7%
06:002
 
1.8%
10:002
 
1.8%
20:402
 
1.8%
12:001
 
0.9%
08:001
 
0.9%
17:001
 
0.9%
17:351
 
0.9%
22:001
 
0.9%
Other values (2)2
 
1.8%

Most occurring characters

ValueCountFrequency (%)
n170
44.2%
a85
22.1%
068
 
17.7%
:26
 
6.8%
219
 
4.9%
16
 
1.6%
53
 
0.8%
62
 
0.5%
42
 
0.5%
72
 
0.5%
Other values (2)2
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter255
66.2%
Decimal Number104
27.0%
Other Punctuation26
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
068
65.4%
219
 
18.3%
16
 
5.8%
53
 
2.9%
62
 
1.9%
42
 
1.9%
72
 
1.9%
81
 
1.0%
31
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
n170
66.7%
a85
33.3%
Other Punctuation
ValueCountFrequency (%)
:26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin255
66.2%
Common130
33.8%

Most frequent character per script

Common
ValueCountFrequency (%)
068
52.3%
:26
 
20.0%
219
 
14.6%
16
 
4.6%
53
 
2.3%
62
 
1.5%
42
 
1.5%
72
 
1.5%
81
 
0.8%
31
 
0.8%
Latin
ValueCountFrequency (%)
n170
66.7%
a85
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n170
44.2%
a85
22.1%
068
 
17.7%
:26
 
6.8%
219
 
4.9%
16
 
1.6%
53
 
0.8%
62
 
0.5%
42
 
0.5%
72
 
0.5%
Other values (2)2
 
0.5%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct19
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size1016.0 B
2020-12-15T12:00:00+00:00
82 
2020-12-15T04:00:00+00:00
 
3
2020-12-15T17:00:00+00:00
 
3
2020-12-15T00:00:00+00:00
 
3
2020-12-15T11:00:00+00:00
 
3
Other values (14)
17 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2775
Distinct characters12
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)9.9%

Sample

1st row2020-12-14T21:00:00+00:00
2nd row2020-12-15T00:00:00+00:00
3rd row2020-12-15T00:00:00+00:00
4th row2020-12-15T00:00:00+00:00
5th row2020-12-15T02:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-15T12:00:00+00:0082
73.9%
2020-12-15T04:00:00+00:003
 
2.7%
2020-12-15T17:00:00+00:003
 
2.7%
2020-12-15T00:00:00+00:003
 
2.7%
2020-12-15T11:00:00+00:003
 
2.7%
2020-12-15T02:00:00+00:002
 
1.8%
2020-12-15T19:40:00+00:002
 
1.8%
2020-12-15T05:00:00+00:002
 
1.8%
2020-12-14T21:00:00+00:001
 
0.9%
2020-12-15T14:00:00+00:001
 
0.9%
Other values (9)9
 
8.1%

Length

2022-05-09T21:13:57.937259image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-15t12:00:00+00:0082
73.9%
2020-12-15t17:00:00+00:003
 
2.7%
2020-12-15t00:00:00+00:003
 
2.7%
2020-12-15t11:00:00+00:003
 
2.7%
2020-12-15t04:00:00+00:003
 
2.7%
2020-12-15t02:00:00+00:002
 
1.8%
2020-12-15t19:40:00+00:002
 
1.8%
2020-12-15t05:00:00+00:002
 
1.8%
2020-12-15t13:00:00+00:001
 
0.9%
2020-12-15t03:00:00+00:001
 
0.9%
Other values (9)9
 
8.1%

Most occurring characters

ValueCountFrequency (%)
01122
40.4%
2420
 
15.1%
:333
 
12.0%
1320
 
11.5%
-222
 
8.0%
5116
 
4.2%
T111
 
4.0%
+111
 
4.0%
48
 
0.3%
74
 
0.1%
Other values (2)8
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1998
72.0%
Other Punctuation333
 
12.0%
Dash Punctuation222
 
8.0%
Uppercase Letter111
 
4.0%
Math Symbol111
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01122
56.2%
2420
 
21.0%
1320
 
16.0%
5116
 
5.8%
48
 
0.4%
74
 
0.2%
94
 
0.2%
34
 
0.2%
Other Punctuation
ValueCountFrequency (%)
:333
100.0%
Dash Punctuation
ValueCountFrequency (%)
-222
100.0%
Uppercase Letter
ValueCountFrequency (%)
T111
100.0%
Math Symbol
ValueCountFrequency (%)
+111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common2664
96.0%
Latin111
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
01122
42.1%
2420
 
15.8%
:333
 
12.5%
1320
 
12.0%
-222
 
8.3%
5116
 
4.4%
+111
 
4.2%
48
 
0.3%
74
 
0.2%
94
 
0.2%
Latin
ValueCountFrequency (%)
T111
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01122
40.4%
2420
 
15.1%
:333
 
12.0%
1320
 
11.5%
-222
 
8.0%
5116
 
4.2%
T111
 
4.0%
+111
 
4.0%
48
 
0.3%
74
 
0.1%
Other values (2)8
 
0.3%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct44
Distinct (%)41.9%
Missing6
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean51.21904762
Minimum5
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:13:58.052071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.2
Q123
median45
Q382
95-th percentile123.8
Maximum126
Range121
Interquartile range (IQR)59

Descriptive statistics

Standard deviation38.0518323
Coefficient of variation (CV)0.7429234644
Kurtosis-0.6233856869
Mean51.21904762
Median Absolute Deviation (MAD)26
Skewness0.7893703257
Sum5378
Variance1447.941941
MonotonicityNot monotonic
2022-05-09T21:13:58.230383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
4517
 
15.3%
827
 
6.3%
235
 
4.5%
1244
 
3.6%
304
 
3.6%
123
 
2.7%
243
 
2.7%
1233
 
2.7%
253
 
2.7%
53
 
2.7%
Other values (34)53
47.7%
(Missing)6
 
5.4%
ValueCountFrequency (%)
53
2.7%
61
 
0.9%
72
1.8%
81
 
0.9%
91
 
0.9%
102
1.8%
112
1.8%
123
2.7%
141
 
0.9%
151
 
0.9%
ValueCountFrequency (%)
1261
 
0.9%
1251
 
0.9%
1244
3.6%
1233
2.7%
1222
 
1.8%
1212
 
1.8%
1203
2.7%
902
 
1.8%
882
 
1.8%
827
6.3%

image
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct54
Distinct (%)100.0%
Missing57
Missing (%)51.4%
Memory size1016.0 B
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794286.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794286.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794274.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794274.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794275.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794275.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794276.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794276.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794277.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794277.jpg'}
 
1
Other values (49)
49 

Length

Max length178
Median length176
Mean length176.0740741
Min length176

Characters and Unicode

Total characters9508
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737208.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737208.jpg'}
2nd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726349.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726349.jpg'}
3rd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/722681.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/722681.jpg'}
4th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721854.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721854.jpg'}
5th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/735555.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/735555.jpg'}

Common Values

ValueCountFrequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794286.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794286.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794274.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794274.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794275.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794275.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794276.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794276.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794277.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794277.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794278.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794278.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794279.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794279.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794281.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794281.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794282.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794282.jpg'}1
 
0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/317/794283.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/317/794283.jpg'}1
 
0.9%
Other values (44)44
39.6%
(Missing)57
51.4%

Length

2022-05-09T21:13:58.422708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medium54
25.0%
original54
25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722711.jpg1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/289/722687.jpg1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722687.jpg1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/289/722686.jpg1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722686.jpg1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/289/722714.jpg1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722714.jpg1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/289/722713.jpg1
 
0.5%
Other values (100)100
46.3%

Most occurring characters

ValueCountFrequency (%)
/756
 
8.0%
a648
 
6.8%
t594
 
6.2%
m540
 
5.7%
i540
 
5.7%
s486
 
5.1%
e432
 
4.5%
'432
 
4.5%
p378
 
4.0%
o378
 
4.0%
Other values (28)4324
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6372
67.0%
Other Punctuation1782
 
18.7%
Decimal Number976
 
10.3%
Space Separator162
 
1.7%
Connector Punctuation108
 
1.1%
Close Punctuation54
 
0.6%
Open Punctuation54
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a648
 
10.2%
t594
 
9.3%
m540
 
8.5%
i540
 
8.5%
s486
 
7.6%
e432
 
6.8%
p378
 
5.9%
o378
 
5.9%
u324
 
5.1%
c324
 
5.1%
Other values (9)1728
27.1%
Decimal Number
ValueCountFrequency (%)
7218
22.3%
2162
16.6%
9120
12.3%
1102
10.5%
492
9.4%
390
9.2%
880
 
8.2%
658
 
5.9%
030
 
3.1%
524
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/756
42.4%
'432
24.2%
.324
18.2%
:216
 
12.1%
,54
 
3.0%
Space Separator
ValueCountFrequency (%)
162
100.0%
Connector Punctuation
ValueCountFrequency (%)
_108
100.0%
Close Punctuation
ValueCountFrequency (%)
}54
100.0%
Open Punctuation
ValueCountFrequency (%)
{54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6372
67.0%
Common3136
33.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/756
24.1%
'432
13.8%
.324
10.3%
7218
 
7.0%
:216
 
6.9%
162
 
5.2%
2162
 
5.2%
9120
 
3.8%
_108
 
3.4%
1102
 
3.3%
Other values (9)536
17.1%
Latin
ValueCountFrequency (%)
a648
 
10.2%
t594
 
9.3%
m540
 
8.5%
i540
 
8.5%
s486
 
7.6%
e432
 
6.8%
p378
 
5.9%
o378
 
5.9%
u324
 
5.1%
c324
 
5.1%
Other values (9)1728
27.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII9508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/756
 
8.0%
a648
 
6.8%
t594
 
6.2%
m540
 
5.7%
i540
 
5.7%
s486
 
5.1%
e432
 
4.5%
'432
 
4.5%
p378
 
4.0%
o378
 
4.0%
Other values (28)4324
45.5%

summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct54
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size1016.0 B
nan
58 
<p><b>#Hidden Map Open #Blue Ocean View</b></p>
 
1
<p>Since falling in love, they've continuously dealt with drama from their families. Relive Pedro and Chantel's tumultuous marriage.</p>
 
1
<p>Deavan became pregnant with Jihoon's baby and moved to South Korea to be closer to him. These are the highs and lows of their whirlwind romance.</p>
 
1
<p>It was after falling in love with her South African partner that Tiffany discovered his troublesome past. These are their most dramatic moments.</p>
 
1
Other values (49)
49 

Length

Max length1001
Median length3
Mean length85.27027027
Min length3

Characters and Unicode

Total characters9465
Distinct characters80
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)47.7%

Sample

1st row<p><b>#Hidden Map Open #Blue Ocean View</b></p>
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan58
52.3%
<p><b>#Hidden Map Open #Blue Ocean View</b></p>1
 
0.9%
<p>Since falling in love, they've continuously dealt with drama from their families. Relive Pedro and Chantel's tumultuous marriage.</p>1
 
0.9%
<p>Deavan became pregnant with Jihoon's baby and moved to South Korea to be closer to him. These are the highs and lows of their whirlwind romance.</p>1
 
0.9%
<p>It was after falling in love with her South African partner that Tiffany discovered his troublesome past. These are their most dramatic moments.</p>1
 
0.9%
<p>Angela and Michael met online and fell in love, but their relationship hasn't been easy. These are their most dramatic moments.</p>1
 
0.9%
<p>After her breakup with Jesse, Darcey continued her quest for Mr Right and found love with dapper British gent, Tom. These are her most dramatic moments.</p>1
 
0.9%
<p>American David and Annie from Thailand have a 24-year age difference, but their love is undeniable. Can they overcome all the stresses of married life?</p>1
 
0.9%
<p>Revealing all the highs and lows in Colt and Larissa's tumultuous relationship. From arguments with his mum to an emergency call to the police.</p>1
 
0.9%
<p>After moving to America to be with Tania, Syngin felt abandoned moved to Costa Rica. These are the dramatic moments from their love story.</p>1
 
0.9%
Other values (44)44
39.6%

Length

2022-05-09T21:13:58.602103image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the80
 
5.0%
and71
 
4.5%
nan58
 
3.7%
to55
 
3.5%
with30
 
1.9%
in29
 
1.8%
of27
 
1.7%
their24
 
1.5%
her23
 
1.4%
a22
 
1.4%
Other values (704)1169
73.6%

Most occurring characters

ValueCountFrequency (%)
1471
15.5%
e886
 
9.4%
a646
 
6.8%
n591
 
6.2%
t582
 
6.1%
o519
 
5.5%
i489
 
5.2%
r451
 
4.8%
s443
 
4.7%
h370
 
3.9%
Other values (70)3017
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7082
74.8%
Space Separator1478
 
15.6%
Other Punctuation314
 
3.3%
Uppercase Letter314
 
3.3%
Math Symbol246
 
2.6%
Decimal Number19
 
0.2%
Dash Punctuation10
 
0.1%
Open Punctuation1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e886
12.5%
a646
 
9.1%
n591
 
8.3%
t582
 
8.2%
o519
 
7.3%
i489
 
6.9%
r451
 
6.4%
s443
 
6.3%
h370
 
5.2%
l303
 
4.3%
Other values (19)1802
25.4%
Uppercase Letter
ValueCountFrequency (%)
A34
 
10.8%
R34
 
10.8%
T26
 
8.3%
C23
 
7.3%
M21
 
6.7%
S19
 
6.1%
D17
 
5.4%
L16
 
5.1%
P15
 
4.8%
J13
 
4.1%
Other values (14)96
30.6%
Other Punctuation
ValueCountFrequency (%)
.95
30.3%
,70
22.3%
'66
21.0%
/64
20.4%
?8
 
2.5%
!5
 
1.6%
#2
 
0.6%
:1
 
0.3%
@1
 
0.3%
&1
 
0.3%
Decimal Number
ValueCountFrequency (%)
05
26.3%
94
21.1%
72
 
10.5%
12
 
10.5%
42
 
10.5%
22
 
10.5%
81
 
5.3%
31
 
5.3%
Space Separator
ValueCountFrequency (%)
1471
99.5%
 7
 
0.5%
Math Symbol
ValueCountFrequency (%)
<123
50.0%
>123
50.0%
Dash Punctuation
ValueCountFrequency (%)
-9
90.0%
1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7396
78.1%
Common2069
 
21.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e886
12.0%
a646
 
8.7%
n591
 
8.0%
t582
 
7.9%
o519
 
7.0%
i489
 
6.6%
r451
 
6.1%
s443
 
6.0%
h370
 
5.0%
l303
 
4.1%
Other values (43)2116
28.6%
Common
ValueCountFrequency (%)
1471
71.1%
<123
 
5.9%
>123
 
5.9%
.95
 
4.6%
,70
 
3.4%
'66
 
3.2%
/64
 
3.1%
-9
 
0.4%
?8
 
0.4%
 7
 
0.3%
Other values (17)33
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII9451
99.9%
None13
 
0.1%
Punctuation1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1471
15.6%
e886
 
9.4%
a646
 
6.8%
n591
 
6.3%
t582
 
6.2%
o519
 
5.5%
i489
 
5.2%
r451
 
4.8%
s443
 
4.7%
h370
 
3.9%
Other values (65)3003
31.8%
None
ValueCountFrequency (%)
 7
53.8%
é3
23.1%
à2
 
15.4%
è1
 
7.7%
Punctuation
ValueCountFrequency (%)
1
100.0%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct68
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48930.27928
Minimum2504
Maximum61755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:13:58.781713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2504
5-th percentile17798.5
Q149251.5
median52412
Q355355
95-th percentile57853
Maximum61755
Range59251
Interquartile range (IQR)6103.5

Descriptive statistics

Standard deviation11504.71929
Coefficient of variation (CV)0.2351247419
Kurtosis4.384157524
Mean48930.27928
Median Absolute Deviation (MAD)2943
Skewness-2.174073212
Sum5431261
Variance132358565.9
MonotonicityNot monotonic
2022-05-09T21:13:58.953033image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5535532
28.8%
506164
 
3.6%
525242
 
1.8%
501062
 
1.8%
152502
 
1.8%
521042
 
1.8%
521072
 
1.8%
547622
 
1.8%
521082
 
1.8%
521592
 
1.8%
Other values (58)59
53.2%
ValueCountFrequency (%)
25041
0.9%
133811
0.9%
133921
0.9%
152502
1.8%
176331
0.9%
179641
0.9%
214911
0.9%
262681
0.9%
306061
0.9%
320871
0.9%
ValueCountFrequency (%)
617551
0.9%
615301
0.9%
608091
0.9%
607851
0.9%
595551
0.9%
583671
0.9%
573391
0.9%
572851
0.9%
568481
0.9%
562531
0.9%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct68
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size1016.0 B
https://www.tvmaze.com/shows/55355/90-day-fiance-extras
32 
https://www.tvmaze.com/shows/50616/song-exploder
 
4
https://www.tvmaze.com/shows/52524/forever-love
 
2
https://www.tvmaze.com/shows/50106/cheyenne-et-lola
 
2
https://www.tvmaze.com/shows/15250/the-young-turks
 
2
Other values (63)
69 

Length

Max length71
Median length61
Mean length51.44144144
Min length40

Characters and Unicode

Total characters5710
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)51.4%

Sample

1st rowhttps://www.tvmaze.com/shows/41648/sim-for-you
2nd rowhttps://www.tvmaze.com/shows/49422/serlok-v-rossii
3rd rowhttps://www.tvmaze.com/shows/51065/stand-up-autsajd
4th rowhttps://www.tvmaze.com/shows/52933/lab-s-antonom-belaevym
5th rowhttps://www.tvmaze.com/shows/51336/core-sense

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/55355/90-day-fiance-extras32
28.8%
https://www.tvmaze.com/shows/50616/song-exploder4
 
3.6%
https://www.tvmaze.com/shows/52524/forever-love2
 
1.8%
https://www.tvmaze.com/shows/50106/cheyenne-et-lola2
 
1.8%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
1.8%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love2
 
1.8%
https://www.tvmaze.com/shows/52107/new-face2
 
1.8%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze2
 
1.8%
https://www.tvmaze.com/shows/52108/psych-hunter2
 
1.8%
https://www.tvmaze.com/shows/52159/to-love2
 
1.8%
Other values (58)59
53.2%

Length

2022-05-09T21:13:59.150627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/55355/90-day-fiance-extras32
28.8%
https://www.tvmaze.com/shows/50616/song-exploder4
 
3.6%
https://www.tvmaze.com/shows/52107/new-face2
 
1.8%
https://www.tvmaze.com/shows/52400/dream-detective2
 
1.8%
https://www.tvmaze.com/shows/52159/to-love2
 
1.8%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze2
 
1.8%
https://www.tvmaze.com/shows/52108/psych-hunter2
 
1.8%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love2
 
1.8%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
1.8%
https://www.tvmaze.com/shows/50106/cheyenne-et-lola2
 
1.8%
Other values (58)59
53.2%

Most occurring characters

ValueCountFrequency (%)
/555
 
9.7%
w462
 
8.1%
t440
 
7.7%
s434
 
7.6%
e318
 
5.6%
o304
 
5.3%
a292
 
5.1%
h266
 
4.7%
m250
 
4.4%
-224
 
3.9%
Other values (29)2165
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3975
69.6%
Other Punctuation888
 
15.6%
Decimal Number623
 
10.9%
Dash Punctuation224
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w462
11.6%
t440
11.1%
s434
10.9%
e318
 
8.0%
o304
 
7.6%
a292
 
7.3%
h266
 
6.7%
m250
 
6.3%
c175
 
4.4%
v139
 
3.5%
Other values (15)895
22.5%
Decimal Number
ValueCountFrequency (%)
5197
31.6%
077
 
12.4%
369
 
11.1%
956
 
9.0%
150
 
8.0%
248
 
7.7%
445
 
7.2%
638
 
6.1%
823
 
3.7%
720
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/555
62.5%
.222
 
25.0%
:111
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3975
69.6%
Common1735
30.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w462
11.6%
t440
11.1%
s434
10.9%
e318
 
8.0%
o304
 
7.6%
a292
 
7.3%
h266
 
6.7%
m250
 
6.3%
c175
 
4.4%
v139
 
3.5%
Other values (15)895
22.5%
Common
ValueCountFrequency (%)
/555
32.0%
-224
12.9%
.222
 
12.8%
5197
 
11.4%
:111
 
6.4%
077
 
4.4%
369
 
4.0%
956
 
3.2%
150
 
2.9%
248
 
2.8%
Other values (4)126
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII5710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/555
 
9.7%
w462
 
8.1%
t440
 
7.7%
s434
 
7.6%
e318
 
5.6%
o304
 
5.3%
a292
 
5.1%
h266
 
4.7%
m250
 
4.4%
-224
 
3.9%
Other values (29)2165
37.9%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct68
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size1016.0 B
90 Day Fiancé: Extras
32 
Song Exploder
 
4
Forever Love
 
2
Cheyenne et Lola
 
2
The Young Turks
 
2
Other values (63)
69 

Length

Max length36
Median length26
Mean length16.82882883
Min length5

Characters and Unicode

Total characters1868
Distinct characters98
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)51.4%

Sample

1st rowSim for You
2nd rowШерлок в России
3rd rowStand Up Аутсайд
4th rowLAB с Антоном Беляевым
5th rowCore Sense

Common Values

ValueCountFrequency (%)
90 Day Fiancé: Extras32
28.8%
Song Exploder4
 
3.6%
Forever Love2
 
1.8%
Cheyenne et Lola2
 
1.8%
The Young Turks2
 
1.8%
Twisted Fate of Love2
 
1.8%
New Face2
 
1.8%
Youths in the Breeze2
 
1.8%
Psych Hunter2
 
1.8%
To Love2
 
1.8%
Other values (58)59
53.2%

Length

2022-05-09T21:13:59.469316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9032
 
9.6%
fiancé32
 
9.6%
extras32
 
9.6%
day32
 
9.6%
the8
 
2.4%
love7
 
2.1%
song4
 
1.2%
exploder4
 
1.2%
of4
 
1.2%
in3
 
0.9%
Other values (153)177
52.8%

Most occurring characters

ValueCountFrequency (%)
224
 
12.0%
a162
 
8.7%
e125
 
6.7%
r87
 
4.7%
n86
 
4.6%
i84
 
4.5%
t81
 
4.3%
o71
 
3.8%
s68
 
3.6%
c52
 
2.8%
Other values (88)828
44.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1240
66.4%
Uppercase Letter294
 
15.7%
Space Separator224
 
12.0%
Decimal Number69
 
3.7%
Other Punctuation39
 
2.1%
Dash Punctuation2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a162
13.1%
e125
 
10.1%
r87
 
7.0%
n86
 
6.9%
i84
 
6.8%
t81
 
6.5%
o71
 
5.7%
s68
 
5.5%
c52
 
4.2%
y42
 
3.4%
Other values (42)382
30.8%
Uppercase Letter
ValueCountFrequency (%)
F42
14.3%
E41
13.9%
D41
13.9%
S24
 
8.2%
T22
 
7.5%
L12
 
4.1%
A11
 
3.7%
C11
 
3.7%
B10
 
3.4%
H10
 
3.4%
Other values (21)70
23.8%
Decimal Number
ValueCountFrequency (%)
033
47.8%
932
46.4%
21
 
1.4%
11
 
1.4%
71
 
1.4%
41
 
1.4%
Other Punctuation
ValueCountFrequency (%)
:33
84.6%
'2
 
5.1%
/1
 
2.6%
.1
 
2.6%
,1
 
2.6%
!1
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
1
50.0%
-1
50.0%
Space Separator
ValueCountFrequency (%)
224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1444
77.3%
Common334
 
17.9%
Cyrillic90
 
4.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a162
 
11.2%
e125
 
8.7%
r87
 
6.0%
n86
 
6.0%
i84
 
5.8%
t81
 
5.6%
o71
 
4.9%
s68
 
4.7%
c52
 
3.6%
F42
 
2.9%
Other values (41)586
40.6%
Cyrillic
ValueCountFrequency (%)
о10
 
11.1%
е9
 
10.0%
с7
 
7.8%
в6
 
6.7%
р6
 
6.7%
т4
 
4.4%
п4
 
4.4%
л4
 
4.4%
н3
 
3.3%
а3
 
3.3%
Other values (22)34
37.8%
Common
ValueCountFrequency (%)
224
67.1%
033
 
9.9%
:33
 
9.9%
932
 
9.6%
'2
 
0.6%
21
 
0.3%
11
 
0.3%
1
 
0.3%
71
 
0.3%
/1
 
0.3%
Other values (5)5
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1743
93.3%
Cyrillic90
 
4.8%
None34
 
1.8%
Punctuation1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
 
12.9%
a162
 
9.3%
e125
 
7.2%
r87
 
5.0%
n86
 
4.9%
i84
 
4.8%
t81
 
4.6%
o71
 
4.1%
s68
 
3.9%
c52
 
3.0%
Other values (52)703
40.3%
None
ValueCountFrequency (%)
é32
94.1%
ı1
 
2.9%
ø1
 
2.9%
Cyrillic
ValueCountFrequency (%)
о10
 
11.1%
е9
 
10.0%
с7
 
7.8%
в6
 
6.7%
р6
 
6.7%
т4
 
4.4%
п4
 
4.4%
л4
 
4.4%
н3
 
3.3%
а3
 
3.3%
Other values (22)34
37.8%
Punctuation
ValueCountFrequency (%)
1
100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1016.0 B
Scripted
37 
Reality
36 
Talk Show
12 
Documentary
11 
Animation
Other values (3)
10 

Length

Max length11
Median length9
Mean length7.927927928
Min length4

Characters and Unicode

Total characters880
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowReality
2nd rowScripted
3rd rowVariety
4th rowDocumentary
5th rowAnimation

Common Values

ValueCountFrequency (%)
Scripted37
33.3%
Reality36
32.4%
Talk Show12
 
10.8%
Documentary11
 
9.9%
Animation5
 
4.5%
Variety4
 
3.6%
News3
 
2.7%
Sports3
 
2.7%

Length

2022-05-09T21:13:59.657383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:13:59.819813image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
scripted37
30.1%
reality36
29.3%
talk12
 
9.8%
show12
 
9.8%
documentary11
 
8.9%
animation5
 
4.1%
variety4
 
3.3%
news3
 
2.4%
sports3
 
2.4%

Most occurring characters

ValueCountFrequency (%)
t96
 
10.9%
e91
 
10.3%
i87
 
9.9%
a68
 
7.7%
r55
 
6.2%
S52
 
5.9%
y51
 
5.8%
l48
 
5.5%
c48
 
5.5%
p40
 
4.5%
Other values (16)244
27.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter745
84.7%
Uppercase Letter123
 
14.0%
Space Separator12
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t96
12.9%
e91
12.2%
i87
11.7%
a68
9.1%
r55
7.4%
y51
6.8%
l48
 
6.4%
c48
 
6.4%
p40
 
5.4%
d37
 
5.0%
Other values (8)124
16.6%
Uppercase Letter
ValueCountFrequency (%)
S52
42.3%
R36
29.3%
T12
 
9.8%
D11
 
8.9%
A5
 
4.1%
V4
 
3.3%
N3
 
2.4%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin868
98.6%
Common12
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t96
11.1%
e91
 
10.5%
i87
 
10.0%
a68
 
7.8%
r55
 
6.3%
S52
 
6.0%
y51
 
5.9%
l48
 
5.5%
c48
 
5.5%
p40
 
4.6%
Other values (15)232
26.7%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t96
 
10.9%
e91
 
10.3%
i87
 
9.9%
a68
 
7.7%
r55
 
6.2%
S52
 
5.9%
y51
 
5.8%
l48
 
5.5%
c48
 
5.5%
p40
 
4.5%
Other values (16)244
27.7%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct17
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size1016.0 B
English
62 
Chinese
17 
Russian
10 
Korean
 
4
Norwegian
 
4
Other values (12)
14 

Length

Max length10
Median length7
Mean length7.018018018
Min length3

Characters and Unicode

Total characters779
Distinct characters32
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)9.0%

Sample

1st rowKorean
2nd rowRussian
3rd rowRussian
4th rowRussian
5th rowChinese

Common Values

ValueCountFrequency (%)
English62
55.9%
Chinese17
 
15.3%
Russian10
 
9.0%
Korean4
 
3.6%
Norwegian4
 
3.6%
Japanese2
 
1.8%
French2
 
1.8%
German1
 
0.9%
Turkish1
 
0.9%
Vietnamese1
 
0.9%
Other values (7)7
 
6.3%

Length

2022-05-09T21:13:59.969590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english62
55.9%
chinese17
 
15.3%
russian10
 
9.0%
korean4
 
3.6%
norwegian4
 
3.6%
japanese2
 
1.8%
french2
 
1.8%
arabic1
 
0.9%
dutch1
 
0.9%
portuguese1
 
0.9%
Other values (7)7
 
6.3%

Most occurring characters

ValueCountFrequency (%)
n107
13.7%
s106
13.6%
i98
12.6%
h84
10.8%
g69
8.9%
l63
8.1%
E62
8.0%
e55
7.1%
a30
 
3.9%
C17
 
2.2%
Other values (22)88
11.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter669
85.9%
Uppercase Letter110
 
14.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n107
16.0%
s106
15.8%
i98
14.6%
h84
12.6%
g69
10.3%
l63
9.4%
e55
8.2%
a30
 
4.5%
r15
 
2.2%
u14
 
2.1%
Other values (8)28
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
E62
56.4%
C17
 
15.5%
R10
 
9.1%
N4
 
3.6%
K4
 
3.6%
J2
 
1.8%
F2
 
1.8%
T2
 
1.8%
P2
 
1.8%
G1
 
0.9%
Other values (4)4
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Latin779
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n107
13.7%
s106
13.6%
i98
12.6%
h84
10.8%
g69
8.9%
l63
8.1%
E62
8.0%
e55
7.1%
a30
 
3.9%
C17
 
2.2%
Other values (22)88
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n107
13.7%
s106
13.6%
i98
12.6%
h84
10.8%
g69
8.9%
l63
8.1%
E62
8.0%
e55
7.1%
a30
 
3.9%
C17
 
2.2%
Other values (22)88
11.3%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct34
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size1016.0 B
[]
57 
['Drama', 'Romance']
['Music']
 
5
['Comedy']
 
5
['Action', 'Crime', 'Thriller']
 
2
Other values (29)
36 

Length

Max length43
Median length2
Mean length11.87387387
Min length2

Characters and Unicode

Total characters1318
Distinct characters34
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)19.8%

Sample

1st row[]
2nd row['Crime', 'Mystery']
3rd row[]
4th row['Music']
5th row['Action', 'Anime', 'Science-Fiction']

Common Values

ValueCountFrequency (%)
[]57
51.4%
['Drama', 'Romance']6
 
5.4%
['Music']5
 
4.5%
['Comedy']5
 
4.5%
['Action', 'Crime', 'Thriller']2
 
1.8%
['Drama', 'Romance', 'History']2
 
1.8%
['Crime', 'Thriller', 'Mystery']2
 
1.8%
['Drama', 'Fantasy', 'Mystery']2
 
1.8%
['Drama', 'Thriller', 'Mystery']2
 
1.8%
['Drama']2
 
1.8%
Other values (24)26
23.4%

Length

2022-05-09T21:14:00.138569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
57
32.8%
drama26
14.9%
romance12
 
6.9%
comedy12
 
6.9%
crime9
 
5.2%
fantasy9
 
5.2%
music8
 
4.6%
mystery8
 
4.6%
action6
 
3.4%
thriller6
 
3.4%
Other values (12)21
 
12.1%

Most occurring characters

ValueCountFrequency (%)
'234
17.8%
[111
 
8.4%
]111
 
8.4%
a88
 
6.7%
r68
 
5.2%
e67
 
5.1%
m63
 
4.8%
,63
 
4.8%
63
 
4.8%
i45
 
3.4%
Other values (24)405
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter615
46.7%
Other Punctuation297
22.5%
Uppercase Letter119
 
9.0%
Open Punctuation111
 
8.4%
Close Punctuation111
 
8.4%
Space Separator63
 
4.8%
Dash Punctuation2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a88
14.3%
r68
11.1%
e67
10.9%
m63
10.2%
i45
7.3%
n41
6.7%
y40
6.5%
o38
 
6.2%
t33
 
5.4%
c33
 
5.4%
Other values (8)99
16.1%
Uppercase Letter
ValueCountFrequency (%)
D26
21.8%
C24
20.2%
M17
14.3%
F13
10.9%
R12
10.1%
A12
10.1%
T7
 
5.9%
S5
 
4.2%
H2
 
1.7%
L1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
'234
78.8%
,63
 
21.2%
Open Punctuation
ValueCountFrequency (%)
[111
100.0%
Close Punctuation
ValueCountFrequency (%)
]111
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
-2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin734
55.7%
Common584
44.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a88
12.0%
r68
 
9.3%
e67
 
9.1%
m63
 
8.6%
i45
 
6.1%
n41
 
5.6%
y40
 
5.4%
o38
 
5.2%
t33
 
4.5%
c33
 
4.5%
Other values (18)218
29.7%
Common
ValueCountFrequency (%)
'234
40.1%
[111
19.0%
]111
19.0%
,63
 
10.8%
63
 
10.8%
-2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'234
17.8%
[111
 
8.4%
]111
 
8.4%
a88
 
6.7%
r68
 
5.2%
e67
 
5.1%
m63
 
4.8%
,63
 
4.8%
63
 
4.8%
i45
 
3.4%
Other values (24)405
30.7%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1016.0 B
Ended
56 
Running
45 
To Be Determined
10 

Length

Max length16
Median length5
Mean length6.801801802
Min length5

Characters and Unicode

Total characters755
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowTo Be Determined
3rd rowEnded
4th rowRunning
5th rowRunning

Common Values

ValueCountFrequency (%)
Ended56
50.5%
Running45
40.5%
To Be Determined10
 
9.0%

Length

2022-05-09T21:14:00.283936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:14:00.447375image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
ended56
42.7%
running45
34.4%
to10
 
7.6%
be10
 
7.6%
determined10
 
7.6%

Most occurring characters

ValueCountFrequency (%)
n201
26.6%
d122
16.2%
e96
12.7%
E56
 
7.4%
i55
 
7.3%
R45
 
6.0%
u45
 
6.0%
g45
 
6.0%
20
 
2.6%
T10
 
1.3%
Other values (6)60
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter604
80.0%
Uppercase Letter131
 
17.4%
Space Separator20
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n201
33.3%
d122
20.2%
e96
15.9%
i55
 
9.1%
u45
 
7.5%
g45
 
7.5%
o10
 
1.7%
t10
 
1.7%
r10
 
1.7%
m10
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
E56
42.7%
R45
34.4%
T10
 
7.6%
B10
 
7.6%
D10
 
7.6%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin735
97.4%
Common20
 
2.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n201
27.3%
d122
16.6%
e96
13.1%
E56
 
7.6%
i55
 
7.5%
R45
 
6.1%
u45
 
6.1%
g45
 
6.1%
T10
 
1.4%
o10
 
1.4%
Other values (5)50
 
6.8%
Common
ValueCountFrequency (%)
20
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII755
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n201
26.6%
d122
16.2%
e96
12.7%
E56
 
7.4%
i55
 
7.3%
R45
 
6.0%
u45
 
6.0%
g45
 
6.0%
20
 
2.6%
T10
 
1.3%
Other values (6)60
 
7.9%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct25
Distinct (%)40.3%
Missing49
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean36.85483871
Minimum5
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:14:00.560215image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.05
Q120
median30
Q345
95-th percentile90
Maximum120
Range115
Interquartile range (IQR)25

Descriptive statistics

Standard deviation26.73479146
Coefficient of variation (CV)0.7254079084
Kurtosis2.87289785
Mean36.85483871
Median Absolute Deviation (MAD)15
Skewness1.537978205
Sum2285
Variance714.7490746
MonotonicityNot monotonic
2022-05-09T21:14:00.718969image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4514
 
12.6%
306
 
5.4%
205
 
4.5%
54
 
3.6%
254
 
3.6%
1203
 
2.7%
603
 
2.7%
902
 
1.8%
162
 
1.8%
72
 
1.8%
Other values (15)17
 
15.3%
(Missing)49
44.1%
ValueCountFrequency (%)
54
3.6%
61
 
0.9%
72
 
1.8%
81
 
0.9%
101
 
0.9%
121
 
0.9%
141
 
0.9%
151
 
0.9%
162
 
1.8%
205
4.5%
ValueCountFrequency (%)
1203
 
2.7%
902
 
1.8%
603
 
2.7%
571
 
0.9%
521
 
0.9%
502
 
1.8%
4514
12.6%
402
 
1.8%
351
 
0.9%
306
5.4%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct35
Distinct (%)32.7%
Missing4
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean51.40186916
Minimum5
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:14:00.917210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.3
Q123.5
median45
Q391
95-th percentile91
Maximum120
Range115
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation34.1455983
Coefficient of variation (CV)0.6642870942
Kurtosis-1.394566726
Mean51.40186916
Median Absolute Deviation (MAD)33
Skewness0.2629026478
Sum5500
Variance1165.921883
MonotonicityNot monotonic
2022-05-09T21:14:01.073356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
9132
28.8%
4513
 
11.7%
267
 
6.3%
255
 
4.5%
54
 
3.6%
1203
 
2.7%
123
 
2.7%
143
 
2.7%
602
 
1.8%
62
 
1.8%
Other values (25)33
29.7%
(Missing)4
 
3.6%
ValueCountFrequency (%)
54
3.6%
62
1.8%
72
1.8%
81
 
0.9%
91
 
0.9%
101
 
0.9%
112
1.8%
123
2.7%
143
2.7%
162
1.8%
ValueCountFrequency (%)
1203
 
2.7%
9132
28.8%
902
 
1.8%
871
 
0.9%
611
 
0.9%
602
 
1.8%
591
 
0.9%
571
 
0.9%
511
 
0.9%
502
 
1.8%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct58
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size1016.0 B
2020-12-15
32 
2020-10-02
 
4
2020-11-24
 
4
2020-11-23
 
4
2020-12-08
 
3
Other values (53)
64 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1110
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)41.4%

Sample

1st row2019-03-25
2nd row2020-10-22
3rd row2020-10-13
4th row2019-12-17
5th row2020-10-13

Common Values

ValueCountFrequency (%)
2020-12-1532
28.8%
2020-10-024
 
3.6%
2020-11-244
 
3.6%
2020-11-234
 
3.6%
2020-12-083
 
2.7%
2020-12-013
 
2.7%
2020-10-133
 
2.7%
2020-10-203
 
2.7%
2020-12-143
 
2.7%
2020-12-132
 
1.8%
Other values (48)50
45.0%

Length

2022-05-09T21:14:01.252186image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-1532
28.8%
2020-11-244
 
3.6%
2020-11-234
 
3.6%
2020-10-024
 
3.6%
2020-12-083
 
2.7%
2020-12-013
 
2.7%
2020-10-133
 
2.7%
2020-10-203
 
2.7%
2020-12-143
 
2.7%
2013-12-242
 
1.8%
Other values (48)50
45.0%

Most occurring characters

ValueCountFrequency (%)
2269
24.2%
0269
24.2%
-222
20.0%
1202
18.2%
543
 
3.9%
327
 
2.4%
925
 
2.3%
819
 
1.7%
416
 
1.4%
714
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number888
80.0%
Dash Punctuation222
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2269
30.3%
0269
30.3%
1202
22.7%
543
 
4.8%
327
 
3.0%
925
 
2.8%
819
 
2.1%
416
 
1.8%
714
 
1.6%
64
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
-222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1110
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2269
24.2%
0269
24.2%
-222
20.0%
1202
18.2%
543
 
3.9%
327
 
2.4%
925
 
2.3%
819
 
1.7%
416
 
1.4%
714
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2269
24.2%
0269
24.2%
-222
20.0%
1202
18.2%
543
 
3.9%
327
 
2.4%
925
 
2.3%
819
 
1.7%
416
 
1.4%
714
 
1.3%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct14
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size1016.0 B
nan
55 
2020-12-15
34 
2021-01-05
 
5
2020-12-22
 
4
2020-12-30
 
2
Other values (9)
11 

Length

Max length10
Median length10
Mean length6.531531532
Min length3

Characters and Unicode

Total characters725
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)6.3%

Sample

1st rownan
2nd rownan
3rd row2020-12-31
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan55
49.5%
2020-12-1534
30.6%
2021-01-055
 
4.5%
2020-12-224
 
3.6%
2020-12-302
 
1.8%
2020-12-162
 
1.8%
2020-12-232
 
1.8%
2020-12-311
 
0.9%
2021-01-061
 
0.9%
2020-12-241
 
0.9%
Other values (4)4
 
3.6%

Length

2022-05-09T21:14:01.420619image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan55
49.5%
2020-12-1534
30.6%
2021-01-055
 
4.5%
2020-12-224
 
3.6%
2020-12-302
 
1.8%
2020-12-162
 
1.8%
2020-12-232
 
1.8%
2020-12-311
 
0.9%
2021-01-061
 
0.9%
2020-12-241
 
0.9%
Other values (4)4
 
3.6%

Most occurring characters

ValueCountFrequency (%)
2172
23.7%
0119
16.4%
-112
15.4%
n110
15.2%
1105
14.5%
a55
 
7.6%
539
 
5.4%
35
 
0.7%
64
 
0.6%
41
 
0.1%
Other values (3)3
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number448
61.8%
Lowercase Letter165
 
22.8%
Dash Punctuation112
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2172
38.4%
0119
26.6%
1105
23.4%
539
 
8.7%
35
 
1.1%
64
 
0.9%
41
 
0.2%
71
 
0.2%
81
 
0.2%
91
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
n110
66.7%
a55
33.3%
Dash Punctuation
ValueCountFrequency (%)
-112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common560
77.2%
Latin165
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2172
30.7%
0119
21.2%
-112
20.0%
1105
18.8%
539
 
7.0%
35
 
0.9%
64
 
0.7%
41
 
0.2%
71
 
0.2%
81
 
0.2%
Latin
ValueCountFrequency (%)
n110
66.7%
a55
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2172
23.7%
0119
16.4%
-112
15.4%
n110
15.2%
1105
14.5%
a55
 
7.6%
539
 
5.4%
35
 
0.7%
64
 
0.6%
41
 
0.1%
Other values (3)3
 
0.4%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct65
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size1016.0 B
https://www.discoveryplus.co.uk/show/90-day-extras
32 
https://www.netflix.com/title/80992997
 
4
nan
 
4
https://v.qq.com/detail/m/mzc00200tu76tos.html
 
2
https://v.qq.com/detail/m/mzc00200dnvb1wh.html
 
2
Other values (60)
67 

Length

Max length105
Median length74
Mean length48.76576577
Min length3

Characters and Unicode

Total characters5413
Distinct characters74
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)47.7%

Sample

1st rowhttps://www.vlive.tv/video/121637
2nd rowhttps://start.ru/watch/sherlok-v-rossii
3rd rowhttps://premier.one/show/13734
4th rowhttps://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c326
5th rowhttps://www.bilibili.com/bangumi/media/md28223064

Common Values

ValueCountFrequency (%)
https://www.discoveryplus.co.uk/show/90-day-extras32
28.8%
https://www.netflix.com/title/809929974
 
3.6%
nan4
 
3.6%
https://v.qq.com/detail/m/mzc00200tu76tos.html2
 
1.8%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html2
 
1.8%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html2
 
1.8%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=12
 
1.8%
https://www.tytnetwork.com2
 
1.8%
https://www.iqiyi.com/a_19rrhskr95.html2
 
1.8%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef2
 
1.8%
Other values (55)57
51.4%

Length

2022-05-09T21:14:01.603610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.discoveryplus.co.uk/show/90-day-extras32
28.8%
nan4
 
3.6%
https://www.netflix.com/title/809929974
 
3.6%
https://v.qq.com/detail/m/mzc00200tu76tos.html2
 
1.8%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html2
 
1.8%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html2
 
1.8%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=12
 
1.8%
https://www.tytnetwork.com2
 
1.8%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef2
 
1.8%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab2
 
1.8%
Other values (55)57
51.4%

Most occurring characters

ValueCountFrequency (%)
/425
 
7.9%
t399
 
7.4%
s342
 
6.3%
w278
 
5.1%
o261
 
4.8%
.255
 
4.7%
e223
 
4.1%
h196
 
3.6%
p180
 
3.3%
c176
 
3.3%
Other values (64)2678
49.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3640
67.2%
Other Punctuation871
 
16.1%
Decimal Number449
 
8.3%
Uppercase Letter300
 
5.5%
Dash Punctuation102
 
1.9%
Math Symbol31
 
0.6%
Connector Punctuation20
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t399
 
11.0%
s342
 
9.4%
w278
 
7.6%
o261
 
7.2%
e223
 
6.1%
h196
 
5.4%
p180
 
4.9%
c176
 
4.8%
a170
 
4.7%
r157
 
4.3%
Other values (16)1258
34.6%
Uppercase Letter
ValueCountFrequency (%)
E33
 
11.0%
P21
 
7.0%
A17
 
5.7%
L17
 
5.7%
C16
 
5.3%
N16
 
5.3%
F15
 
5.0%
W15
 
5.0%
Z15
 
5.0%
B13
 
4.3%
Other values (16)122
40.7%
Decimal Number
ValueCountFrequency (%)
085
18.9%
983
18.5%
144
9.8%
840
8.9%
240
8.9%
440
8.9%
531
 
6.9%
730
 
6.7%
329
 
6.5%
627
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/425
48.8%
.255
29.3%
:107
 
12.3%
%57
 
6.5%
?18
 
2.1%
&7
 
0.8%
#1
 
0.1%
!1
 
0.1%
Math Symbol
ValueCountFrequency (%)
=29
93.5%
+2
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
-102
100.0%
Connector Punctuation
ValueCountFrequency (%)
_20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3940
72.8%
Common1473
 
27.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t399
 
10.1%
s342
 
8.7%
w278
 
7.1%
o261
 
6.6%
e223
 
5.7%
h196
 
5.0%
p180
 
4.6%
c176
 
4.5%
a170
 
4.3%
r157
 
4.0%
Other values (42)1558
39.5%
Common
ValueCountFrequency (%)
/425
28.9%
.255
17.3%
:107
 
7.3%
-102
 
6.9%
085
 
5.8%
983
 
5.6%
%57
 
3.9%
144
 
3.0%
840
 
2.7%
240
 
2.7%
Other values (12)235
16.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5413
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/425
 
7.9%
t399
 
7.4%
s342
 
6.3%
w278
 
5.1%
o261
 
4.8%
.255
 
4.7%
e223
 
4.1%
h196
 
3.6%
p180
 
3.3%
c176
 
3.3%
Other values (64)2678
49.5%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION

Distinct47
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.21621622
Minimum0
Maximum91
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:14:01.788944image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.5
Q122.5
median28
Q336
95-th percentile76.5
Maximum91
Range91
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation20.85857374
Coefficient of variation (CV)0.6279635706
Kurtosis0.4853865328
Mean33.21621622
Median Absolute Deviation (MAD)6
Skewness1.070693672
Sum3687
Variance435.0800983
MonotonicityNot monotonic
2022-05-09T21:14:02.019795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2834
30.6%
186
 
5.4%
224
 
3.6%
734
 
3.6%
254
 
3.6%
293
 
2.7%
303
 
2.7%
323
 
2.7%
153
 
2.7%
273
 
2.7%
Other values (37)44
39.6%
ValueCountFrequency (%)
01
0.9%
12
1.8%
21
0.9%
32
1.8%
61
0.9%
82
1.8%
101
0.9%
111
0.9%
131
0.9%
142
1.8%
ValueCountFrequency (%)
911
 
0.9%
841
 
0.9%
811
 
0.9%
791
 
0.9%
772
1.8%
761
 
0.9%
751
 
0.9%
734
3.6%
721
 
0.9%
711
 
0.9%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1016.0 B
nan
109 
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}
 
1
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}
 
1

Length

Max length70
Median length3
Mean length4.09009009
Min length3

Characters and Unicode

Total characters454
Distinct characters33
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)1.8%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan109
98.2%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}1
 
0.9%
{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}1
 
0.9%

Length

2022-05-09T21:14:02.166542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:14:02.301989image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan109
88.6%
name2
 
1.6%
code2
 
1.6%
timezone2
 
1.6%
korea1
 
0.8%
republic1
 
0.8%
of1
 
0.8%
kr1
 
0.8%
asia/seoul1
 
0.8%
japan1
 
0.8%
Other values (2)2
 
1.6%

Most occurring characters

ValueCountFrequency (%)
n223
49.1%
a116
25.6%
'24
 
5.3%
12
 
2.6%
e11
 
2.4%
o9
 
2.0%
:6
 
1.3%
,5
 
1.1%
i5
 
1.1%
m4
 
0.9%
Other values (23)39
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter390
85.9%
Other Punctuation37
 
8.1%
Space Separator12
 
2.6%
Uppercase Letter11
 
2.4%
Close Punctuation2
 
0.4%
Open Punctuation2
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n223
57.2%
a116
29.7%
e11
 
2.8%
o9
 
2.3%
i5
 
1.3%
m4
 
1.0%
c3
 
0.8%
d2
 
0.5%
s2
 
0.5%
z2
 
0.5%
Other values (9)13
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
A2
18.2%
J2
18.2%
R2
18.2%
K2
18.2%
S1
9.1%
P1
9.1%
T1
9.1%
Other Punctuation
ValueCountFrequency (%)
'24
64.9%
:6
 
16.2%
,5
 
13.5%
/2
 
5.4%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
}2
100.0%
Open Punctuation
ValueCountFrequency (%)
{2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin401
88.3%
Common53
 
11.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n223
55.6%
a116
28.9%
e11
 
2.7%
o9
 
2.2%
i5
 
1.2%
m4
 
1.0%
c3
 
0.7%
d2
 
0.5%
s2
 
0.5%
A2
 
0.5%
Other values (16)24
 
6.0%
Common
ValueCountFrequency (%)
'24
45.3%
12
22.6%
:6
 
11.3%
,5
 
9.4%
}2
 
3.8%
/2
 
3.8%
{2
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n223
49.1%
a116
25.6%
'24
 
5.3%
12
 
2.6%
e11
 
2.4%
o9
 
2.0%
:6
 
1.3%
,5
 
1.1%
i5
 
1.1%
m4
 
0.9%
Other values (23)39
 
8.6%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct61
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size1016.0 B
<p>Relive some of the memorable moments our couples have faced on their journeys so far. From whopping age gaps to complex language barriers, explore their ups and downs as they prepared to embark on their new lives together.</p>
32 
nan
<p><b>Song Exploder</b>, based on the hit podcast, spotlights some of the world's greatest musicians as they reveal how they brought one of their songs to life.</p>
 
4
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>
 
2
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>
 
2
Other values (56)
63 

Length

Max length919
Median length569
Mean length276.027027
Min length3

Characters and Unicode

Total characters30639
Distinct characters86
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)44.1%

Sample

1st row<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd rownan
3rd row<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>
4th row<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>
5th row<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>

Common Values

ValueCountFrequency (%)
<p>Relive some of the memorable moments our couples have faced on their journeys so far. From whopping age gaps to complex language barriers, explore their ups and downs as they prepared to embark on their new lives together.</p>32
28.8%
nan8
 
7.2%
<p><b>Song Exploder</b>, based on the hit podcast, spotlights some of the world's greatest musicians as they reveal how they brought one of their songs to life.</p>4
 
3.6%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>2
 
1.8%
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>2
 
1.8%
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>2
 
1.8%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>2
 
1.8%
<p>Merchant Jiang Shuo and his odd specialist companion Qin Yi Heng purchase frequented houses to exchange them. In any case, alarming things start to occur and each spooky house is by all accounts part of a major riddle. Jiang Shuo, Yi Heng, and police officer Yuan Mu Qing attempt to understand the riddle.</p>2
 
1.8%
<p>Pan, a desolate plastic surgeon, lived a repetitive and boring life every day until a conspiracy happened. He woke up in an abandoned factory, and found that someone had replaced his identity with a face exactly like him. His world has been completely overturned and left in a perilous situation. Can he overcome the difficulties and peel away the truth? How would he regain his identity?</p>2
 
1.8%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>2
 
1.8%
Other values (51)53
47.7%

Length

2022-05-09T21:14:02.484720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the243
 
4.8%
to170
 
3.4%
and154
 
3.0%
of132
 
2.6%
their124
 
2.4%
a105
 
2.1%
on90
 
1.8%
in65
 
1.3%
as57
 
1.1%
they53
 
1.0%
Other values (1402)3881
76.5%

Most occurring characters

ValueCountFrequency (%)
4952
16.2%
e3131
 
10.2%
o1964
 
6.4%
t1844
 
6.0%
a1758
 
5.7%
r1612
 
5.3%
n1592
 
5.2%
s1543
 
5.0%
i1529
 
5.0%
h1191
 
3.9%
Other values (76)9523
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter23448
76.5%
Space Separator4963
 
16.2%
Other Punctuation811
 
2.6%
Uppercase Letter749
 
2.4%
Math Symbol580
 
1.9%
Dash Punctuation43
 
0.1%
Decimal Number38
 
0.1%
Close Punctuation3
 
< 0.1%
Open Punctuation3
 
< 0.1%
Currency Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e3131
13.4%
o1964
 
8.4%
t1844
 
7.9%
a1758
 
7.5%
r1612
 
6.9%
n1592
 
6.8%
s1543
 
6.6%
i1529
 
6.5%
h1191
 
5.1%
l905
 
3.9%
Other values (21)6379
27.2%
Uppercase Letter
ValueCountFrequency (%)
T77
 
10.3%
S58
 
7.7%
F57
 
7.6%
A52
 
6.9%
R52
 
6.9%
C41
 
5.5%
Y38
 
5.1%
H38
 
5.1%
J35
 
4.7%
M33
 
4.4%
Other values (17)268
35.8%
Other Punctuation
ValueCountFrequency (%)
,286
35.3%
.254
31.3%
/151
18.6%
'59
 
7.3%
"24
 
3.0%
:14
 
1.7%
!12
 
1.5%
?7
 
0.9%
;3
 
0.4%
1
 
0.1%
Decimal Number
ValueCountFrequency (%)
012
31.6%
19
23.7%
28
21.1%
53
 
7.9%
32
 
5.3%
72
 
5.3%
41
 
2.6%
81
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
-32
74.4%
9
 
20.9%
2
 
4.7%
Space Separator
ValueCountFrequency (%)
4952
99.8%
 11
 
0.2%
Math Symbol
ValueCountFrequency (%)
<290
50.0%
>290
50.0%
Close Punctuation
ValueCountFrequency (%)
)3
100.0%
Open Punctuation
ValueCountFrequency (%)
(3
100.0%
Currency Symbol
ValueCountFrequency (%)
$1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin24197
79.0%
Common6442
 
21.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e3131
12.9%
o1964
 
8.1%
t1844
 
7.6%
a1758
 
7.3%
r1612
 
6.7%
n1592
 
6.6%
s1543
 
6.4%
i1529
 
6.3%
h1191
 
4.9%
l905
 
3.7%
Other values (48)7128
29.5%
Common
ValueCountFrequency (%)
4952
76.9%
<290
 
4.5%
>290
 
4.5%
,286
 
4.4%
.254
 
3.9%
/151
 
2.3%
'59
 
0.9%
-32
 
0.5%
"24
 
0.4%
:14
 
0.2%
Other values (18)90
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII30608
99.9%
None19
 
0.1%
Punctuation12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4952
16.2%
e3131
 
10.2%
o1964
 
6.4%
t1844
 
6.0%
a1758
 
5.7%
r1612
 
5.3%
n1592
 
5.2%
s1543
 
5.0%
i1529
 
5.0%
h1191
 
3.9%
Other values (66)9492
31.0%
None
ValueCountFrequency (%)
 11
57.9%
ü2
 
10.5%
ö2
 
10.5%
å1
 
5.3%
ş1
 
5.3%
Ç1
 
5.3%
é1
 
5.3%
Punctuation
ValueCountFrequency (%)
9
75.0%
2
 
16.7%
1
 
8.3%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct68
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1636365390
Minimum1604587119
Maximum1652133529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1016.0 B
2022-05-09T21:14:02.783047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1604587119
5-th percentile1608693132
Q11631287352
median1640112415
Q31648190058
95-th percentile1651682290
Maximum1652133529
Range47546410
Interquartile range (IQR)16902706

Descriptive statistics

Standard deviation14903889.23
Coefficient of variation (CV)0.009107922547
Kurtosis-0.5004428432
Mean1636365390
Median Absolute Deviation (MAD)8077643
Skewness-0.9779859271
Sum1.816365583 × 1011
Variance2.221259141 × 1014
MonotonicityNot monotonic
2022-05-09T21:14:02.956187image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164011241532
28.8%
16088872564
 
3.6%
16124781452
 
1.8%
16446505822
 
1.8%
16481900582
 
1.8%
16095351412
 
1.8%
16064181642
 
1.8%
16184666822
 
1.8%
16508264802
 
1.8%
16090607262
 
1.8%
Other values (58)59
53.2%
ValueCountFrequency (%)
16045871191
 
0.9%
16064181642
1.8%
16083529671
 
0.9%
16084062791
 
0.9%
16084990071
 
0.9%
16088872564
3.6%
16090607262
1.8%
16095351412
1.8%
16099236481
 
0.9%
16113514451
 
0.9%
ValueCountFrequency (%)
16521335291
0.9%
16519332091
0.9%
16518386471
0.9%
16517773161
0.9%
16517641951
0.9%
16517491651
0.9%
16516154151
0.9%
16515911241
0.9%
16514160251
0.9%
16512614161
0.9%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1016.0 B
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/1949329
 
1
https://api.tvmaze.com/episodes/2042003
 
1
https://api.tvmaze.com/episodes/1996399
 
1
https://api.tvmaze.com/episodes/1955318
 
1
Other values (106)
106 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters4329
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.9%
https://api.tvmaze.com/episodes/19493291
 
0.9%
https://api.tvmaze.com/episodes/20420031
 
0.9%
https://api.tvmaze.com/episodes/19963991
 
0.9%
https://api.tvmaze.com/episodes/19553181
 
0.9%
https://api.tvmaze.com/episodes/19967861
 
0.9%
https://api.tvmaze.com/episodes/19493361
 
0.9%
https://api.tvmaze.com/episodes/19493351
 
0.9%
https://api.tvmaze.com/episodes/19493341
 
0.9%
https://api.tvmaze.com/episodes/19493331
 
0.9%
Other values (101)101
91.0%

Length

2022-05-09T21:14:03.158119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.9%
https://api.tvmaze.com/episodes/20654471
 
0.9%
https://api.tvmaze.com/episodes/19640001
 
0.9%
https://api.tvmaze.com/episodes/19954051
 
0.9%
https://api.tvmaze.com/episodes/20077601
 
0.9%
https://api.tvmaze.com/episodes/19857891
 
0.9%
https://api.tvmaze.com/episodes/20396221
 
0.9%
https://api.tvmaze.com/episodes/20396231
 
0.9%
https://api.tvmaze.com/episodes/23244271
 
0.9%
https://api.tvmaze.com/episodes/23244281
 
0.9%
Other values (101)101
91.0%

Most occurring characters

ValueCountFrequency (%)
/444
 
10.3%
p333
 
7.7%
s333
 
7.7%
e333
 
7.7%
t333
 
7.7%
o222
 
5.1%
a222
 
5.1%
i222
 
5.1%
.222
 
5.1%
m222
 
5.1%
Other values (16)1443
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2775
64.1%
Other Punctuation777
 
17.9%
Decimal Number777
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p333
12.0%
s333
12.0%
e333
12.0%
t333
12.0%
o222
8.0%
a222
8.0%
i222
8.0%
m222
8.0%
h111
 
4.0%
d111
 
4.0%
Other values (3)333
12.0%
Decimal Number
ValueCountFrequency (%)
9120
15.4%
2116
14.9%
0100
12.9%
199
12.7%
367
8.6%
665
8.4%
863
8.1%
753
6.8%
450
6.4%
544
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/444
57.1%
.222
28.6%
:111
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2775
64.1%
Common1554
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/444
28.6%
.222
14.3%
9120
 
7.7%
2116
 
7.5%
:111
 
7.1%
0100
 
6.4%
199
 
6.4%
367
 
4.3%
665
 
4.2%
863
 
4.1%
Other values (3)147
 
9.5%
Latin
ValueCountFrequency (%)
p333
12.0%
s333
12.0%
e333
12.0%
t333
12.0%
o222
8.0%
a222
8.0%
i222
8.0%
m222
8.0%
h111
 
4.0%
d111
 
4.0%
Other values (3)333
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII4329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/444
 
10.3%
p333
 
7.7%
s333
 
7.7%
e333
 
7.7%
t333
 
7.7%
o222
 
5.1%
a222
 
5.1%
i222
 
5.1%
.222
 
5.1%
m222
 
5.1%
Other values (16)1443
33.3%

Interactions

2022-05-09T21:13:49.953295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:42.983140image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:59.419066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:05.654888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:12.714481image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:21.110695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:35.857235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:41.373642image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:46.100278image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:51.582954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:47.195956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:02.152106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:08.900008image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:17.589563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:26.701621image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:38.469294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:43.488861image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:48.126915image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:51.725667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:48.827053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:02.485544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:09.201159image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:17.876161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:27.710480image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:38.916523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:43.687582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:48.269078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:51.866403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:50.309847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:02.676046image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:09.449780image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:18.057623image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:28.604702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:39.249092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:43.854476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:48.418577image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:51.990656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:51.602523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:02.844734image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:09.638047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:18.340154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:29.476373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:39.559769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:44.053295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:48.550598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:52.897224image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:54.610075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:04.546349image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:11.416416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:19.888729image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:32.288137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:40.515616image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:45.289254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:49.444869image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:53.046568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:55.431261image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:04.897496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:11.682907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:20.058183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:33.009066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:40.785090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:45.562387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:49.577739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:53.205051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:56.754747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:05.159247image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:12.113650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:20.329487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:33.909132image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:41.003170image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:45.744316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:49.697722image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:53.338853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:12:58.200047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:05.390292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:12.420526image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:20.653533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:34.749005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:41.189789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:45.924751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:13:49.826077image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:14:03.284588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:14:03.499661image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:14:03.715169image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:14:03.937216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:14:04.290670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:13:53.645024image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:13:54.865925image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:13:55.194452image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:13:55.418297image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
01988860https://www.tvmaze.com/episodes/1988860/sim-for-you-4x22-chanyeols-episode-22Chanyeol's Episode 224.022.0regular2020-12-1506:002020-12-14T21:00:00+00:0016.0None<p><b>#Hidden Map Open #Blue Ocean View</b></p>41648https://www.tvmaze.com/shows/41648/sim-for-youSim for YouRealityKorean[]Running16.016.02019-03-25nanhttps://www.vlive.tv/video/12163771.0nan<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>1.608499e+09https://api.tvmaze.com/episodes/1977902
11987445https://www.tvmaze.com/episodes/1987445/serlok-v-rossii-s01-special-film-o-filmeФильм о фильме1.0NaNinsignificant_special2020-12-15nan2020-12-15T00:00:00+00:0025.0Nonenan49422https://www.tvmaze.com/shows/49422/serlok-v-rossiiШерлок в РоссииScriptedRussian['Crime', 'Mystery']To Be Determined52.051.02020-10-22nanhttps://start.ru/watch/sherlok-v-rossii38.0nannan1.643091e+09https://api.tvmaze.com/episodes/2015818
22007749https://www.tvmaze.com/episodes/2007749/stand-up-autsajd-1x09-irina-prihodko-skvirtИрина Приходько "Сквирт"1.09.0regular2020-12-1512:002020-12-15T00:00:00+00:0023.0Nonenan51065https://www.tvmaze.com/shows/51065/stand-up-autsajdStand Up АутсайдVarietyRussian[]Ended40.028.02020-10-132020-12-31https://premier.one/show/137343.0nan<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>1.616719e+09https://api.tvmaze.com/episodes/1964000
32008029https://www.tvmaze.com/episodes/2008029/lab-s-antonom-belaevym-2x08-elena-temnikovaЕлена Темникова2.08.0regular2020-12-15nan2020-12-15T00:00:00+00:0021.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737208.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737208.jpg'}nan52933https://www.tvmaze.com/shows/52933/lab-s-antonom-belaevymLAB с Антоном БеляевымDocumentaryRussian['Music']Running26.025.02019-12-17nanhttps://hd.kinopoisk.ru/film/41a971dd517a30f9b86d20def219c32615.0nan<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>1.641808e+09https://api.tvmaze.com/episodes/1995405
41964567https://www.tvmaze.com/episodes/1964567/core-sense-1x11-episode-11Episode 111.011.0regular2020-12-1510:002020-12-15T02:00:00+00:0024.0Nonenan51336https://www.tvmaze.com/shows/51336/core-senseCore SenseAnimationChinese['Action', 'Anime', 'Science-Fiction']Running24.024.02020-10-13nanhttps://www.bilibili.com/bangumi/media/md2822306437.0nan<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>1.604587e+09https://api.tvmaze.com/episodes/2007760
52052509https://www.tvmaze.com/episodes/2052509/wu-shen-zhu-zai-1x84-episode-84Episode 841.084.0regular2020-12-1510:002020-12-15T02:00:00+00:008.0Nonenan54033https://www.tvmaze.com/shows/54033/wu-shen-zhu-zaiWu Shen Zhu ZaiAnimationChinese['Action', 'Adventure', 'Anime', 'Fantasy']Running8.08.02020-03-08nanhttps://v.qq.com/detail/m/7q544xyrava3vxf.html76.0nan<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>1.649423e+09https://api.tvmaze.com/episodes/1985789
62096297https://www.tvmaze.com/episodes/2096297/no-turning-back-romance-1x03-331.03.0regular2020-12-15nan2020-12-15T03:00:00+00:0012.0Nonenan55002https://www.tvmaze.com/shows/55002/no-turning-back-romanceNo Turning Back RomanceScriptedKorean[]EndedNaN12.02020-12-082021-01-06nan20.0nan<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>1.621617e+09https://api.tvmaze.com/episodes/2039622
72071479https://www.tvmaze.com/episodes/2071479/youths-in-the-breeze-1x09-people-from-the-story-01PEOPLE FROM THE STORY #011.09.0regular2020-12-15nan2020-12-15T04:00:00+00:007.0Nonenan54762https://www.tvmaze.com/shows/54762/youths-in-the-breezeYouths in the BreezeScriptedChinese['Drama', 'Fantasy']Ended7.07.02020-12-132020-12-22https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef28.0nan<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>1.618467e+09https://api.tvmaze.com/episodes/2039623
82071480https://www.tvmaze.com/episodes/2071480/youths-in-the-breeze-1x10-people-from-the-story-02PEOPLE FROM THE STORY #021.010.0regular2020-12-15nan2020-12-15T04:00:00+00:007.0Nonenan54762https://www.tvmaze.com/shows/54762/youths-in-the-breezeYouths in the BreezeScriptedChinese['Drama', 'Fantasy']Ended7.07.02020-12-132020-12-22https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef28.0nan<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>1.618467e+09https://api.tvmaze.com/episodes/2324427
92082175https://www.tvmaze.com/episodes/2082175/ling-jian-zun-4x32-di132ji第132集4.032.0regular2020-12-15nan2020-12-15T04:00:00+00:0010.0Nonenan55016https://www.tvmaze.com/shows/55016/ling-jian-zunLing Jian ZunAnimationChinese['Anime']Running10.010.02019-01-15nanhttps://v.qq.com/x/cover/2w2legt0g8z26al.html45.0nan<p>The strong man was attacked and returned to his youth. He became the weakest waste young lord. He will never let go of the enemy of the previous life in this life and must make up the regret of the previous life in this life! By the time the Spirit Sword is powerful, the protagonist will be supreme in the three worlds between heaven and earth! If there is someone doesn't obey him, he will kill him with the sword!</p><p><br /> </p>1.640703e+09https://api.tvmaze.com/episodes/2324428

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
1012287787https://www.tvmaze.com/episodes/2287787/kono-koi-atatamemasu-ka-1x09-reiwas-best-dateReiwa's best date !!1.09.0regular2020-12-1522:002020-12-15T13:00:00+00:0057.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/404/1012052.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/404/1012052.jpg'}<p>Kiki, Makoto and Riho grow concerned about Takumi's handling of the dessert development project. Meanwhile, after being questioned by Riho about his feelings toward Kiki, Takumi decides he must go and talk to Kiki about their relationship. Kiki is torn between Makoto on the one hand and Takumi on the other. In the end, which of them will she choose to spend Christmas with?</p>60785https://www.tvmaze.com/shows/60785/kono-koi-atatamemasu-kaKono Koi Atatamemasu kaScriptedJapanese['Drama', 'Food', 'Romance']Ended57.059.02020-10-202020-12-22https://www.tbs.co.jp/koiata_tbs/15.0nan<p>Kiki Inoue works part-time at a convenience store, spending the better part of her day lazing about or reviewing sweets on her social media account. One day at work, she is introduced to the chain's CEO, Takumi Asaba, who, as it turns out, is familiar with Inoue's online reviews. Asaba asks Inoue to develop new desserts to sell chain-wide. As CEO, Asaba is tasked with turning around the chain's fortunes, as it is now ranked the lowest among its competitors. Close collaboration leads Inoue and Asaba to become sweet on each other.</p>1.650216e+09https://api.tvmaze.com/episodes/2001672
1021991535https://www.tvmaze.com/episodes/1991535/conversa-com-bial-4x152-lazaro-ramosLázaro Ramos4.0152.0regular2020-12-15nan2020-12-15T14:00:00+00:00NaNNonenan36813https://www.tvmaze.com/shows/36813/conversa-com-bialConversa com BialTalk ShowPortuguese[]RunningNaN40.02017-05-03nanhttps://globoplay.globo.com/conversa-com-bial/p/10086/1.0nannan1.648342e+09https://api.tvmaze.com/episodes/2001673
1032311019https://www.tvmaze.com/episodes/2311019/toki-wo-kakeru-bando-1x09-electric-chahhanElectric Chahhan1.09.0regular2020-12-1500:252020-12-15T15:25:00+00:0026.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/403/1009867.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/403/1009867.jpg'}<p>'Yuki Ebana' noticed that the boy who made the 77th song was 'Ryo' when he was young. After returning to her house, Yuki goes to see 'Ryo from the future' who is about to quit her producer, prompted by 'Shiori Kato' and 'Hitoko Murakami'.<br />Ryo tells Yuki, 'My role as a producer is over.' Yuki keeps it, but Ryo says, 'I don't need it anymore,' and further says, 'There is another reason why I came from the future.' The reason was 'to break up with you.' Ryo leaves behind Yuki, saying, 'Congratulations on your debut. You can be the best band.'<br />Yuki, who was told goodbye by Ryo, was depressed. Yuki gets too strong in her practice and runs ahead of herself. Yuki, worried by Shiori and Hitoko, confesses everything. The boy who made her debut song was Ryo, Ryo was Yuki's future husband, and the future with Ryo didn't go well and she was told goodbye. There is a change in the color of the sky that the three people who finished the practice look up at. And also for Ryo's body ...</p>61530https://www.tvmaze.com/shows/61530/toki-wo-kakeru-bandoToki wo Kakeru BandoScriptedJapanese['Comedy', 'Music', 'Science-Fiction']Ended27.026.02020-10-202020-12-22https://www.fujitv.co.jp/tokikake/0.0{'name': 'Japan', 'code': 'JP', 'timezone': 'Asia/Tokyo'}<p>A story about Ryo, a mysterious and self-proclaimed music producer from the future, producing a girl band of three girls and leading them to stardom. A comical and tempo conversational drama, and various trials to produce the youth of young people who play music with comedy touch.</p>1.649705e+09https://api.tvmaze.com/episodes/2001674
1042165007https://www.tvmaze.com/episodes/2165007/all-about-android-2020-12-15-stadias-shining-momentStadia's Shining Moment2020.050.0regular2020-12-15nan2020-12-15T17:00:00+00:0090.0Nonenan17633https://www.tvmaze.com/shows/17633/all-about-androidAll About AndroidNewsEnglish[]Running90.090.02011-03-29nanhttps://twit.tv/shows/all-about-android30.0nan<p><b>All About Android </b>delivers everything you want to know about Android each week -- the biggest news, freshest hardware, best apps and geekiest how-to's -- with Android enthusiasts Jason Howell, Florence Ion, Ron Richards, and a variety of special guests along the way.</p>1.650312e+09https://api.tvmaze.com/episodes/2007691
1051968002https://www.tvmaze.com/episodes/1968002/a-teacher-1x08-episode-8Episode 81.08.0regular2020-12-15nan2020-12-15T17:00:00+00:0030.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717676.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717676.jpg'}<p>Claire attempts to restart her life. However, not everyone is ready for her to turn the page.</p><p> </p>38339https://www.tvmaze.com/shows/38339/a-teacherA TeacherScriptedEnglish['Drama']EndedNaN27.02020-11-102020-12-29https://www.hulu.com/series/a-teacher-1c871218-05b1-4c66-a22f-260b2cb9bbf991.0nan<p><b>A Teacher</b> examines the complexities and consequences of an illegal relationship between a female teacher, Claire and her male high school student, Eric. Dissatisfied in their own lives, Claire and Eric discover an undeniable escape in each other, but their relationship accelerates faster than anticipated and the permanent damage becomes impossible to ignore.</p>1.637345e+09https://api.tvmaze.com/episodes/2007692
1062215235https://www.tvmaze.com/episodes/2215235/comedy-central-stand-up-featuring-7x02-christi-chiello-reasons-not-to-be-a-mom-to-human-babiesChristi Chiello - Reasons Not to Be a Mom to Human Babies7.02.0regular2020-12-15nan2020-12-15T17:00:00+00:00NaN{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/378/946851.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/378/946851.jpg'}<p>Christi Chiello discusses becoming an aunt and a cat mom, and explains why she loves not having children.</p>40862https://www.tvmaze.com/shows/40862/comedy-central-stand-up-featuringComedy Central Stand-Up FeaturingVarietyEnglish['Comedy']RunningNaNNaN2019-01-11nanhttp://www.cc.com/shows/comedy-central-stand-up-featuring33.0nan<p>Get your stand-up fix from today's freshest young comedians as Comedy Central introduces you to up-and-coming comics, who are serving up quick hits of their sets.</p>1.647190e+09https://api.tvmaze.com/episodes/2031800
1071977413https://www.tvmaze.com/episodes/1977413/goede-tijden-slechte-tijden-31x62-aflevering-6317Aflevering 631731.062.0regular2020-12-1520:002020-12-15T19:00:00+00:0023.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720706.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720706.jpg'}nan2504https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijdenGoede Tijden, Slechte TijdenScriptedDutch['Drama', 'Romance']Running23.025.01990-10-01nanhttp://gtst.nl/#!/77.0nannan1.651839e+09https://api.tvmaze.com/episodes/2034364
1081976933https://www.tvmaze.com/episodes/1976933/cheyenne-et-lola-1x07-romanceRomance1.07.0regular2020-12-1520:402020-12-15T19:40:00+00:0050.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724607.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724607.jpg'}<p>Contre toute attente, Yannick et Lola tombent sincèrement amoureux l'un de l'autre.</p>50106https://www.tvmaze.com/shows/50106/cheyenne-et-lolaCheyenne et LolaScriptedFrench['Drama', 'Comedy', 'Crime']Running50.050.02020-11-24nanhttps://go.ocs.fr/details/serie/PSCHEYENNEEW016825940.0nan<p>Cheyenne has been out of jail for six months now, working as a cleaner on the ferries whilst dreaming about traveling to the Amazon. Lola is a beautiful Parisian woman, selfish and ruthless, who has just arrived in the north of France to move in with her lover. But when Cheyenne witnesses Lola killing her lover's wife, she knows she's going to be accused of the crime because of her criminal past.</p>1.644651e+09https://api.tvmaze.com/episodes/2035877
1091976934https://www.tvmaze.com/episodes/1976934/cheyenne-et-lola-1x08-plus-dure-sera-la-chutePlus dure sera la chute1.08.0regular2020-12-1520:402020-12-15T19:40:00+00:0050.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724608.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724608.jpg'}<p>Pour aider Cheyenne à libérer les migrantes, Lola fait croire à Yannick que Babette l'a agressée.</p>50106https://www.tvmaze.com/shows/50106/cheyenne-et-lolaCheyenne et LolaScriptedFrench['Drama', 'Comedy', 'Crime']Running50.050.02020-11-24nanhttps://go.ocs.fr/details/serie/PSCHEYENNEEW016825940.0nan<p>Cheyenne has been out of jail for six months now, working as a cleaner on the ferries whilst dreaming about traveling to the Amazon. Lola is a beautiful Parisian woman, selfish and ruthless, who has just arrived in the north of France to move in with her lover. But when Cheyenne witnesses Lola killing her lover's wife, she knows she's going to be accused of the crime because of her criminal past.</p>1.644651e+09https://api.tvmaze.com/episodes/2035880
1101987429https://www.tvmaze.com/episodes/1987429/chicken-girls-7x15-attaway-dayAttaway Day7.015.0regular2020-12-1515:002020-12-15T20:00:00+00:0016.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/369/923711.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/369/923711.jpg'}<p>In the season finale, Harmony finds her flock, while Rhyme reconnects with old friends. </p>32087https://www.tvmaze.com/shows/32087/chicken-girlsChicken GirlsScriptedEnglish['Drama', 'Children', 'Music']RunningNaN14.02017-09-05nanhttps://www.youtube.com/playlist?list=PLVewHiZp3_LPhqzbcZFmS3iuDm9HymTsy81.0nan<p>Rhyme and her friends — known by their 'ship name, "The Chicken Girls" — have been dancing together forever. But this year, everything's changing...</p>1.650395e+09https://api.tvmaze.com/episodes/2094668